Taman Cempaka Selatan -Tr 203

Taman Cempaka Selatan, 84000 Muar, Johor Darul Ta'zim, Malaysia

Property Transactions

3 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
2,450 sqft
Semi-D
RM400,000
Bandar Muar
2,454 sqft · RM163 PSF
2,700 sqft
Semi-D
RM430,000
Bandar Muar
2,702 sqft · RM159 PSF
4,600 sqft
Semi-D
RM400,000
Jalan Tembusu
4,596 sqft · RM87 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Cempaka Selatan -Tr 203? Homes here sold for a median of RM400,000.

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Market Snapshot

Residential

RM400,000

RM159 psf

Median transaction price

Taman Cempaka Selatan -Tr 203
© OpenStreetMap · CARTO

Taman Cempaka Selatan, 84000 Muar, Johor Darul Ta'zim, Malaysia

Maps

Taman Cempaka Selatan -Tr 203 in Muar, Johor recorded 3 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM400K and a median price per square foot (PSF) of RM159.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM400K, with most transactions falling within a stable range of RM400K to RM414K, and a typical market range of RM400K to RM430K.

Within the Single Storey Semi-D category, 2 - 2 1/2 storey terraced2 - 2 dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM159, though individual units vary from RM124 to RM194 in the core range. The broader market spans RM59.16 to RM259.16, indicating diverse property characteristics. The spread of RM200.00 (IQR) and deviation of RM35 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.